Predicting the Severity of Coronary Artery Disease: Can the Leukocyte Glucose Index be Used?
| Autor: | Kilic O., Buber I., Kahraman F. |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
heart muscle ischemia
Turkey diagnostic imaging retrospective study Leukocyte Glucose Index Constriction Pathologic Coronary Artery Disease Myocardial perfusion scintigraphy Article Turkey (republic) male turkey (bird) blood analysis Leukocytes Humans controlled study human glucose stenosis occlusion and obstruction adult scoring system prediction myocardial perfusion imaging major clinical study aged female cardiology disease severity observational study coronary angiography coronary artery obstruction chronic disease leukocyte hospitalization |
| DOI: | 10.29271/jcpsp.2022.12.1519 |
| Popis: | Objective: To investigate the usability of leuko-glycemic index (LGI) at chronic coronary syndromes (CCS) class 1 for determining the extent and severity of coronary artery disease (CAD). Study Design: An observational study. Place and Duration of Study: Department of Cardiology, University of Pamukkale University Hospital, Turkey, between September 2021 and January 2022. Methodology: One hundred and thirty-four patients, whose myocardial perfusion scintigraphy (MPS) was requested due to CCS class 1, and on whom a coronary angiogram (CAG) was performed due to evidence of ischemia, were analysed. Blood samples were taken from the patients during their hospitalisation before CAG. LGI was calculated as mg/dl.mm3 by multiplying both values and dividing by a thousand. The patients were analysed in two groups according to the critical stenosis and non-critical stenosis detected in the coronary arteries. Results: The LGI was recorded as 480 mg/dl.mm3 (407-603) vs. 572 mg/dl.mm3 (433-877), p=0.006, and the Gensini score (6 (3-10) vs 40 (23-60), p |
| Databáze: | OpenAIRE |
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